Seung-Bo Lee

Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

Seung-Bo Lee, Hyun-Ji Kim, Hakseung Kim et al. · Information Sciences · 2019 · 98 citations

Computational Neuroscience, Pattern Recognition, Medicine +14

Predicting Parkinson's disease using gradient boosting decision tree models with electroencephalography signals

Seung-Bo Lee, Yong-Jeong Kim, Sungeun Hwang et al. · Parkinsonism & Related Disorders · 2022 · 70 citations

Machine Learning, Data Science, Decision Tree +12

Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker

Daun Shin, Kyungdo Kim, Seung-Bo Lee et al. · Frontiers in Psychiatry · 2022 · 34 citations · Full text

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury

Seung-Bo Lee, Hakseung Kim, Young-Tak Kim et al. · Journal of neurosurgery · 2019 · 27 citations

Automated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms

Yunsik Son, Seung-Bo Lee, Hakseung Kim et al. · Information Sciences · 2018 · 23 citations · Full text

Physiological Signals, Engineering, Machine Learning +13